HPC University: Introduction to Stampede as a Flexible Data Engine

Url	http://hpcuniversity.org/trainingMaterials/157
Creator	William McGrath
Contributor	TACC
Publisher	TACC
Description	TACC Prerequisites: Linux, C/Fortran/Python, HPC Cluster Programming Environement This one day workshop will introduce participants to the four data intensive computing modes Stampede is designed to provide: 1) high throughput data processing, 2) parallel data analysis, 3) large shared memory applications, and 4) large-scale visualization. The material will focus on using the job launchers, parallel R, and visualization tools available on Stampede. The workshop will use a mixture of lecture and hands-on training to explore how users can use Stampede for their data driven computing needs.
Format	PDF
Language	English
Subject	Computational Science
Keyword	GridFTP, Data transfer, Big data, Globus online
Audience	Researcher, Educator, Learner/Student, Professional/Practitioner
Education Level	Higher Education, Graduate/Professional, Undergraduate (Lower Division), Undergraduate (Upper Division)
HPCU Subject	Programming/Algorithms, Storage
HPCU Subject 2	Storage, Computer Systems Organization, Architectures, Devices, Hardware, Accelerators, Data, Input/Output, Data Processing, Data Types
Type	Tutorial, Instructional Material, Lecture/Presentation